Icp Matrix Builder

ICP Matrix Builder

When to Use

• Launching outbound for a new company or product line
• Refining targeting after initial campaign data comes in
• Expanding into new verticals or market segments
• Building the foundation for any lead generation or ABM campaign

Framework

What an ICP Matrix Is (And Isn't)

An ICP Matrix is a structured scoring document that ranks and segments your ideal buyers across multiple dimensions. It's the bridge between "we sell to B2B companies" and "we target Series B SaaS companies with 100-500 employees who just hired their first VP of Sales."

It IS:

• A living document that evolves with campaign data
• A scoring framework that makes targeting decisions objective
• A segmentation tool that enables personalized outreach at scale

It is NOT:

• A one-time exercise you do during onboarding and forget
• A single persona description
• A firmographic filter (company size + industry alone is not an ICP)

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The 5 Dimensions of an ICP Matrix

Every complete ICP Matrix scores prospects across five dimensions:

Dimension 1: Firmographic Fit

Does the company match your ideal customer profile structurally?

| Attribute | Tier 1 (Best) | Tier 2 (Good) | Tier 3 (Acceptable) | Disqualified | |-----------|---------------|---------------|---------------------|--------------| | Company size | Define range | Define range | Define range | Too small/large | | Revenue | Define range | Define range | Define range | Outside range | | Industry | Primary verticals | Adjacent verticals | Emerging fit | No fit | | Geography | Primary markets | Secondary markets | Expansion markets | Restricted | | Business model | Exact match | Similar | Adaptable | Incompatible | | Growth stage | Ideal stage | Adjacent stages | Possible fit | Wrong stage |

How to fill this in:

1. Start with your best 10 customers — what do they have in common?
2. Look at your worst 10 customers — what disqualified them (in hindsight)?
3. The patterns that appear in your best but NOT your worst = your Tier 1 criteria

Dimension 2: Technographic Fit

Does their tech stack indicate they're a good fit?

| Attribute | Signal Strength | Why It Matters | |-----------|----------------|----------------| | Uses your integration partners | Strong | Lower friction to adopt | | Uses a competitor | Strong | Active buyer, proven budget | | Tech stack complexity matches | Medium | Right sophistication level | | Recently adopted adjacent tools | Medium | Active buying cycle | | No relevant tech stack | Weak | May not understand the category |

Dimension 3: Buying Intent Signals

Is this company likely to be in-market right now?

| Signal | Intent Level | Scoring Weight | |--------|-------------|----------------| | Hiring for the role your product serves | Very High | 5x | | Recent funding round | High | 4x | | Competitor evaluation (G2, review sites) | Very High | 5x | | Content consumption (webinars, guides) | Medium-High | 3x | | Website visits (if tracking available) | High | 4x | | Leadership change in relevant dept | Medium | 2x | | No detectable intent | Low | 1x |

Dimension 4: Persona Mapping

Who within the company should you target?

For each ICP tier, define 2-3 target personas:

| Persona Attribute | What to Define | |-------------------|---------------| | Title patterns | VP Sales, Director of Revenue, Head of Growth (include variants) | | Department | Sales, Marketing, RevOps, Growth | | Seniority level | C-Suite, VP, Director, Manager | | Decision role | Economic buyer, Champion, Influencer, Blocker | | Pain points | 3-5 specific, measurable pains this persona faces | | Buying triggers | What events push them to evaluate solutions | | Success metrics | What KPIs they're measured on | | Common objections | Top 3-5 reasons they say no |

Dimension 5: Engagement Readiness

How likely is this company to respond to outbound?

| Factor | High Readiness | Low Readiness | |--------|---------------|---------------| | Previous interactions | Engaged before (event, content, trial) | Cold — no prior touchpoint | | Outbound receptiveness | SMB/mid-market, growth-stage | Enterprise, heavily gatekept | | Channel preference | Active on LinkedIn, responsive to email | Dark social, unreachable online | | Sales cycle length | < 60 days | 6+ months | | Committee size | 1-3 decision makers | 5+ stakeholders |

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The Tiering Framework

After scoring all five dimensions, segment accounts into tiers:

| Tier | Criteria | Outreach Strategy | Volume | |------|----------|-------------------|--------| | Tier 1: Bullseye | 4-5 dimensions score "Strong" | Hyper-personalized, multi-channel, 8+ touches | 5-10% of list | | Tier 2: Strong Fit | 3-4 dimensions score "Strong" | Signal-based personalization, email-first | 20-30% of list | | Tier 3: Good Fit | 2-3 dimensions score "Strong" | Bucket personalization, email-only | 40-50% of list | | Tier 4: Stretch | 1-2 dimensions score "Strong" | Test with small batch, generic angle | 10-20% of list | | Disqualified | 0 dimensions score "Strong" OR has a DQ flag | Do not contact | Remove from list |

Disqualification triggers (immediate removal regardless of other scores):

• Company too small to have budget
• Industry you can't serve
• Already a customer
• Competitor or partner (unless intentional)
• Bad data (no valid email, wrong person)

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Building the Matrix: 6-Step Process

Step 1: Analyze Your Best Customers

Pull your top 10-20 customers by: revenue, retention, NPS, speed-to-close, or expansion rate.

For each, document:

• Firmographics (size, revenue, industry, geo)
• What triggered them to buy
• Who the champion was (title, seniority)
• How long the sales cycle took
• What their tech stack looked like at purchase

Step 2: Analyze Your Worst Customers

Pull 10-20 churned or low-value customers. Document the same attributes.

The gap between best and worst = your ICP definition.

Step 3: Identify Scoring Patterns

Look for attributes that appear in 70%+ of your best customers but less than 30% of your worst:

Best Customers Pattern Analysis:
- 80% were Series A-B stage → Weight: High
- 75% had 50-200 employees → Weight: High
- 70% were hiring SDRs when they bought → Weight: Very High
- 60% were in B2B SaaS → Weight: Medium-High
- 50% had a VP Sales title as buyer → Weight: Medium

Step 4: Build the Scoring Model

Assign point values to each attribute:

| Dimension | Attribute | Tier 1 Points | Tier 2 Points | Tier 3 Points | |-----------|-----------|---------------|---------------|---------------| | Firmographic | 50-200 employees | 10 | 5 | 2 | | Firmographic | B2B SaaS | 8 | 4 | 2 | | Technographic | Uses Salesforce | 6 | 3 | 1 | | Intent | Hiring SDRs | 10 | 5 | 2 | | Intent | Recent funding | 8 | 4 | 2 | | Persona | VP Sales title | 6 | 3 | 1 |

Total possible: Sum of all Tier 1 points Tier thresholds: Tier 1 = 80%+, Tier 2 = 60-79%, Tier 3 = 40-59%, Below 40% = DQ

Step 5: Validate with Campaign Data

After running your first campaigns, compare:

• Positive reply rate by ICP tier
• Meeting rate by ICP tier
• Close rate by ICP tier

If Tier 2 accounts are outperforming Tier 1, your scoring model needs adjustment. The data will tell you which attributes actually predict buying behavior vs. which ones you assumed would.

Step 6: Iterate Quarterly

Every quarter, re-run the analysis:

• Which attributes correlated with closed deals?
• Which new signals appeared in your best customers?
• Has your product evolved to serve a different segment better?

Update the matrix. Adjust scoring weights. Re-tier your target accounts.

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Multiple ICP Segments

Most companies have 2-4 distinct ICP segments. Each needs its own matrix:

ICP Segment Map:
├── Segment A: "Growth-Stage SaaS" (Primary)
│   ├── Company: 50-500 employees, Series A-C, B2B SaaS
│   ├── Buyer: VP Sales / Head of Growth
│   └── Trigger: Hiring SDRs or scaling outbound
│
├── Segment B: "Agency Scaling" (Secondary)
│   ├── Company: 10-50 employees, digital agency, $2M-$10M revenue
│   ├── Buyer: Founder / CEO
│   └── Trigger: Hit referral ceiling, need predictable pipeline
│
└── Segment C: "Enterprise RevOps" (Emerging)
    ├── Company: 500-5000 employees, tech or professional services
    ├── Buyer: Director of RevOps / VP Sales Operations
    └── Trigger: Tech consolidation or efficiency mandate

Rule: Each segment gets its own campaigns, its own copy, and its own personalization strategy. Never blend segments in a single campaign.

Templates

ICP Matrix Template

# ICP Matrix: {{Company/Product Name}}
# Version: {{version}} | Last Updated: {{date}}

## Segment: {{segment_name}}

### Firmographic Profile
| Attribute | Tier 1 | Tier 2 | Tier 3 | DQ |
|-----------|--------|--------|--------|----|
| Company size | ___ | ___ | ___ | ___ |
| Revenue | ___ | ___ | ___ | ___ |
| Industry | ___ | ___ | ___ | ___ |
| Geography | ___ | ___ | ___ | ___ |
| Business model | ___ | ___ | ___ | ___ |
| Growth stage | ___ | ___ | ___ | ___ |

### Target Personas (Ranked by Priority)
| Rank | Title Pattern | Seniority | Decision Role | Key Pain |
|------|--------------|-----------|---------------|----------|
| P1 | ___ | ___ | ___ | ___ |
| P2 | ___ | ___ | ___ | ___ |
| P3 | ___ | ___ | ___ | ___ |

### Intent Signals (Ranked by Weight)
| Signal | Weight (1-5) | Detection Source |
|--------|-------------|-----------------|
| ___ | ___ | ___ |
| ___ | ___ | ___ |
| ___ | ___ | ___ |

### Scoring Thresholds
| Tier | Min Score | Outreach Strategy |
|------|-----------|-------------------|
| Tier 1 | ___ | ___ |
| Tier 2 | ___ | ___ |
| Tier 3 | ___ | ___ |
| DQ | Below ___ | Do not contact |

### Validation Metrics (Update Quarterly)
| Metric | Tier 1 | Tier 2 | Tier 3 |
|--------|--------|--------|--------|
| Positive reply rate | ___ | ___ | ___ |
| Meeting rate | ___ | ___ | ___ |
| Close rate | ___ | ___ | ___ |
| Avg deal size | ___ | ___ | ___ |

Tips

• Your ICP is not who you CAN sell to — it's who you SHOULD sell to. The narrower your ICP, the higher your conversion rates.
• Start with 1 segment, not 4. Validate one ICP completely before expanding to adjacent segments.
• The #1 mistake in ICP development: using only firmographic data. A 100-person SaaS company that just raised Series B and is hiring 5 SDRs is a completely different prospect than a 100-person SaaS company that's been flat for 3 years. Same firmographics, wildly different intent.
• Interview your sales team. They know which deals close fast and which are painful — that pattern recognition is your ICP definition.
• If you don't have 10 customers to analyze yet, start with competitor customer analysis. Who are THEIR best customers? That's your starting ICP.
• Update your matrix every time you close (or lose) a significant deal. What did you learn? Did it match your scoring model?

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Progressive disclosure: load industry-specific ICP templates and scoring benchmarks only when building a matrix for a specific vertical.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: kenny589
• Source: kenny589/gtm-flywheel
• License: MIT

Install and usage instructions live in the source repository linked above.